Infrared and Visible Image Fusion using Multi-Scale Decomposition and Visual Saliency Map
- Authors
- Chen, Y.; Xie, H.; Yeo, D.; Shin, H.
- Issue Date
- 2019
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Image fusion; Joint-histogram weighted median filter; Mean filter; Multi-scale decomposition
- Citation
- Proceedings - International SoC Design Conference 2018, ISOCC 2018, pp.243 - 244
- Indexed
- SCOPUS
- Journal Title
- Proceedings - International SoC Design Conference 2018, ISOCC 2018
- Start Page
- 243
- End Page
- 244
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/4586
- DOI
- 10.1109/ISOCC.2018.8649957
- ISSN
- 0000-0000
- Abstract
- In this paper, a novel infrared (IR) and visible (VIS) image fusion algorithm is proposed by using a joint-histogram weighted median filter (JH-WMF) and a mean filter (MF). The proposed method is based on a multi-scale decomposition (MSD) of an image into a base layer, a texture layer, and an edge layer, which is helpful to suppress the artifacts. Furthermore, a novel saliency detection algorithm is proposed for base layers fusion by combining JH-WMF and MF, which is more effective to reduce the loss of contrast. Experiments show that the proposed approach achieves better performance than other methods, in terms of subjective visual effect and objective assessment. © 2018 IEEE.
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Collections - COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles
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